• Journal of KIISE:Software and Applications
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• v.32 no.7
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• pp.601-611
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• 2005

Due to not only proven stability and reliability but a significant investment and years of accumulated -experience and knowledge, legacy systems have supported the core business applications of a number of organizations over many years. While the emergence of Web-based e-business environments requires externalizing core business processes to the Web. This is a competitive advantage in the new economy. Consequently, organizations now need to mine the business value buried in the legacy systems for reuse in new e-business applications. In this paper we suggest a systematic approach to mining components that perform specific business services and that consist of the legacy system's assets to be leveraged on the modem platform. The proposed activities are divided into several tasks. First, use cases that realize the business processes are captured. Secondly, a design model is constructed for each identified use case in order to integrate the use cases with the similar functionalities. Thirdly, we identify component candidates from the design model and then adjust the component candidates by considering common elements among the candidate components. And also business components are divided into three more fine-grained components to deploy them onto J2EE/EJB environments. finally, we define the interfaces of components which provide functionalities of the components as operations.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.437-448
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• 2021

As the core technology of the Fourth Industrial Revolution, AI is applied to various fields of society(e.g. politics, culture, industry, economy, etc.) and causes revolutionary changes. Students who will lead the age of AI need the ability to recognize social changes due to AI, acquire AI related knowledge and utilize AI in various situations. However, it is difficult for elementary school students to understand the concept and principles of AI. Therefore, this study developed an AI education program by selecting educational contents and methods appropriate to the level of elementary school students, and investigated the educational effects of the program by applying it to an actual educational setting. The content selected in this study is 'Social Awareness on AI', 'Understanding AI' and 'Utilizing AI', and eight content elements were selected. To help students learn AI easily and pleasantly at their level, activity-centered education, convergence of subjects and project-based learning were selected as instructional methods, and 20 sessions of education program were developed and implemented. In addition, the effects of the program were analyzed concerning 'perception on AI', 'convergent thinking', 'creative problem-solving' and 'collaboration capability', and positive changes were verified for all four aspects.

• Korean Chemical Engineering Research
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• v.60 no.3
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• pp.356-362
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• 2022

Research related to hydrogen technology is being actively conducted around the world. Korea is also making great efforts to develop technology to leap forward as a hydrogen economy powerhouse. In particular, the world's No. 1 hydrogen vehicle penetration rate is proof of this. However, the construction of hydrogen refueling stations is being delayed. The biggest delay factor is the public opposition. As such, policies without public support cannot be successfully implemented and are not sustainable. Therefore, this study intends to analyze the factors affecting the acceptability of hydrogen refueling stations in favor of and against them. As a research method, the basic factors affecting acceptability were identified by reviewing previous studies, and a questionnaire was designed and investigated based on the established factors. The validity and reliability of the questionnaire were verified, and the hypothesis was verified through correlation analysis. And, using structural equation modeling, a factor model was developed on the acceptability of hydrogen refueling stations. As a result of the study, acceptability defined private acceptability and public acceptability. In the case of private acceptability, it was confirmed that the higher the attitude toward the environment, the higher the level of knowledge about the hydrogen charging station, and the lower the degree of feeling the risk of the hydrogen charging station, the higher the acceptability. In the case of public acceptability, it was confirmed that the higher the benefit, the better the attitude toward the environment, and the lower the risk-taking characteristics of the individual, the higher the acceptability. Therefore, in this study, based on the potential factors verified in previous studies, the main factors affecting the acceptance on hydrogen refueling stations were identified. And the acceptance model was developed using structural equation modeling. This study is expected to provide basic data to seek ways to improve the acceptance of public when implementing national policies such as hydrogen refueling stations, and to be used analysis data for scientific communication.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.101-123
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• 2013

Recently due to the advancements of science and information technology, the socio-economic business areas are changing from the industrial economy to a knowledge economy. Furthermore, companies need to do creation of new value through continuous innovation, development of core competencies and technologies, and technological convergence. Therefore, the identification of major trends in technology research and the interdisciplinary knowledge-based prediction of integrated technologies and promising techniques are required for firms to gain and sustain competitive advantage and future growth engines. The aim of this paper is to understand the recent research trend in management of technology (MOT) and to foresee promising technologies with deep knowledge for both technology and business. Furthermore, this study intends to give a clear way to find new technical value for constant innovation and to capture core technology and technology convergence. Bibliometrics is a metrical analysis to understand literature's characteristics. Traditional bibliometrics has its limitation not to understand relationship between trend in technology management and technology itself, since it focuses on quantitative indices such as quotation frequency. To overcome this issue, the network focused bibliometrics has been used instead of traditional one. The network focused bibliometrics mainly uses "Co-citation" and "Co-word" analysis. In this study, a keywords network analysis, one of social network analysis, is performed to analyze recent research trend in MOT. For the analysis, we collected keywords from research papers published in international journals related MOT between 2002 and 2011, constructed a keyword network, and then conducted the keywords network analysis. Over the past 40 years, the studies in social network have attempted to understand the social interactions through the network structure represented by connection patterns. In other words, social network analysis has been used to explain the structures and behaviors of various social formations such as teams, organizations, and industries. In general, the social network analysis uses data as a form of matrix. In our context, the matrix depicts the relations between rows as papers and columns as keywords, where the relations are represented as binary. Even though there are no direct relations between papers who have been published, the relations between papers can be derived artificially as in the paper-keyword matrix, in which each cell has 1 for including or 0 for not including. For example, a keywords network can be configured in a way to connect the papers which have included one or more same keywords. After constructing a keywords network, we analyzed frequency of keywords, structural characteristics of keywords network, preferential attachment and growth of new keywords, component, and centrality. The results of this study are as follows. First, a paper has 4.574 keywords on the average. 90% of keywords were used three or less times for past 10 years and about 75% of keywords appeared only one time. Second, the keyword network in MOT is a small world network and a scale free network in which a small number of keywords have a tendency to become a monopoly. Third, the gap between the rich (with more edges) and the poor (with fewer edges) in the network is getting bigger as time goes on. Fourth, most of newly entering keywords become poor nodes within about 2~3 years. Finally, keywords with high degree centrality, betweenness centrality, and closeness centrality are "Innovation," "R&D," "Patent," "Forecast," "Technology transfer," "Technology," and "SME". The results of analysis will help researchers identify major trends in MOT research and then seek a new research topic. We hope that the result of the analysis will help researchers of MOT identify major trends in technology research, and utilize as useful reference information when they seek consilience with other fields of study and select a new research topic.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.163-169
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• 2024

India is a developing nation and has come with comprehensive way in modernizing its reducing poverty, economy and rising living standards for an outsized fragment of its residents. The STEM (Science, Technology, Engineering, and Mathematics) education plays an important role in it. STEM is an educational curriculum that emphasis on the subjects of "science, technology, engineering, and mathematics". In traditional education scenario, these subjects are taught independently, but according to the educational philosophy of STEM that teaches these subjects together in project-based lessons. STEM helps the students in his holistic development. Youth unemployment is the biggest concern due to lack of adequate skills. There is a huge skill gap behind jobless engineers and the question arises how we can prepare engineers for a better tomorrow? Now a day's Industry 4.0 is a new fourth industrial revolution which is an intelligent networking of machines and processes for industry through ICT. It is based upon the usage of cyber-physical systems and Internet of Things (IoT). Industrial revolution does not influence only production but also educational system as well. IoT in academics is a new revolution to the Internet technology, which introduced "Smartness" in the entire IT infrastructure. To improve socio-economic status of the India students must equipped with 21st century digital skills and Universities, colleges must provide individual learning kits to their students which can help them in enhancing their productivity and learning outcomes. The major goal of this paper is to present a low cost, effective learning mechanism for STEM implementation using Raspberry Pi 3+ model (Single board computer) and Node Red open source visual programming tool which is developed by IBM for wiring hardware devices together. These tools are broadly used to provide hands on experience on IoT fundamentals during teaching and learning. This paper elaborates the appropriateness and the practicality of these concepts via an example by implementing a user interface (UI) and Dashboard in Node-RED where dashboard palette is used for demonstration with switch, slider, gauge and Raspberry pi palette is used to connect with GPIO pins present on Raspberry pi board. An LED light is connected with a GPIO pin as an output pin. In this experiment, it is shown that the Node-Red dashboard is accessing on Raspberry pi and via Smartphone as well. In the final step results are shown in an elaborate manner. Conversely, inadequate Programming skills in students are the biggest challenge because without good programming skills there would be no pioneers in engineering, robotics and other areas. Coding plays an important role to increase the level of knowledge on a wide scale and to encourage the interest of students in coding. Today Python language which is Open source and most demanding languages in the industry in order to know data science and algorithms, understanding computer science would not be possible without science, technology, engineering and math. In this paper a small experiment is also done with an LED light via writing source code in python. These tiny experiments are really helpful to encourage the students and give play way to learn these advance technologies. The cost estimation is presented in tabular form for per learning kit provided to the students for Hands on experiments. Some Popular In addition, some Open source tools for experimenting with IoT Technology are described. Students can enrich their knowledge by doing lots of experiments with these freely available software's and this low cost hardware in labs or learning kits provided to them.

• The Korean Journal of Air & Space Law and Policy
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• v.27 no.2
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• pp.167-192
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• 2012

Aviation industry is known as the knowledge-based one and as an advanced nations' exclusive property having a large capacity for creating job and added value. Considering the current status of the aviation industry as aforesaid, it is natural for all countries to turn their attention to such promising aviation industry. At the time of rapid growth in aviation market, the importance of securing managerial experts and technicians is being under the spotlight as the aviation profession is increasingly in demand. To meet such dire needs that have already become an ever-greater part of the industry, collaboration among governmental, educational and industrial parties has formed in preparation for putting us into so-called an era of globalization. Having recognized the significance of the program, carried forward by The Ministry of Land, Transport and Maritime Affairs, fostering human resources in civil aviation, the objective of this study lies on deloping indicators for the programofficially designed to produce men of expertise in international air transport, the market of which forms nowadays a large part of national economy, and the technology of which develops so quickly. In this paper, an effort is made to develop the appraisal indicators and to set up standards thereof in order for the program to be systematically and expertly assessed on the basis of Quinn and Rohrbaugh's the competing values model. Firstly, this paper designs appraisal indicators, taking into account the peculiarity and environment of air transport industry, for developing human resources in civil aviation by utilizing advanced research on educational assessment in general due to the absence of applicable preceding studies regarding the development of human resources in civil aviation. Secondly, investigations into the necessity and validity of the appraisal are committed by analyzing answers from 100 respondents to questionaires and oral surveys in order to verify appraisal indicators designed in accordance with the competing values model. Lastly, the paper analyzes in a demographical way discrepancy in the recognitions among institutions for which the respondents work, on the basis of the outcome of the survey. As a result, the discrepancy is found not significant, which indicate that the aviation experts favour the indicators as appraisal standards. Prospective studies on the same issue may need an in-depth analysis, empowered by sufficient sampling in balance, of correlation between independent variables, then hopefully serve as a momentum for advancement of study in civil aviation.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.33-61
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• 2015

The global economy is rapidly changing by technological innovation and diffusion of knowledge across nations. Therefore it is still important issue to find a major variables for convergence and divergence of economic development. The studies up to present on the relationship between innovation and institution has limitations that they have dealt with this issue only in term of cross-sectional study or mathematical research models. This paper aims at analyzing the impact of innovation capabilities and institutional quality on the economic growth. Empirically this paper will explore the relationship among human capital capacity and FDI, R&D expenditures and innovation capabilities and institutional quality. This paper analyzes 64 countries, which were divided into 4 groups depending on the level of economic development. Based on the data from 1995 to 2011 and by using a panel model, we look at the structural implications of the research questions. According to our analysis, the weight of R&D and the innovation capabilities were identified as important determinants of economic growth, and FDI was significant factor for economic growth in the upper middle group countries. In case of the innovation capabilities of countries, the diffusion and openness of innovation were most meaningful variables for economic growth. Also, institutional quality has a significantly positive impact. However, in the low-level economic group, innovation capabilities and institutions have a negative impact on economic growth. This paper identifies an important policy implications that of national innovation and institutional factors should be properly invested in accordance with the level of a country's economic growth.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.233-238
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• 2008

Korea has a high volume of exhaust in environmental pollutants compared to her economic size, which results from the increase of the ratio in high energy consuming industries. There arises an issue that efficient energy saving is not achieved in the related projects of the construction, which is one of the high energy consuming industries. In addition, such projects of dismantling old and decrepit buildings are frequent in recent years. Given the situation, to obtain much better effects of energy saving, it is necessary to build basic databases and develop utilization plans on energy consumption volume, exhaust volume of pollutants, and environmental expenses that come from the dismantlement stages out of the life cycle of construction projects. Therefore, this study calculates the exhaust volume of environmental pollutants, converts it into environmental expenses by pollutants, and evaluates the environmental economics on the projects of dismantling buildings, utilizing LCI DB that is suggested by Ministry of Knowledge Economy and Ministry of Environment. For this purpose, related data research, the existing literature study, and on-the-spot field investigation were conducted. Based on the results of analysis on the collected data, the environmental economics of the target building was evaluated.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.211-222
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• 2020

In today's society, competition of talents is a critical factor of success in modern enterprises due to living in the era of knowledge economy. Also, success of a modern enterprise can be defined by the brand equity or value of the company name defined by general public (functional) and its employees (symbolic). Company brand equity is a subjectively defined by each employee. This article aims to link the relations between employee's perception of employer brand equity to employees' job performance and turnover intention. In order to empirically verify the effects of employer brand on employee's organizational commitment, performance, and turnover intention, study conducted the general employees working for MNC in the field of e-commerce, IT, and Networking business based in China. Total 235 questionnaires were used for the empirical analysis and SPSS 21.0 statistics package was used to analyze the collected data. The results can be summarized as follows: (1) Both the functional employer brand and the symbolic employer brand equity have a significantly positive impact on organizational commitment. (2) Both the functional employer brand equity and the symbolic employer brand equity have a significant positive impact on employee performance. (3) Neither the functional employer brand equity nor the symbolic employer brand equity confirmed the negative relationship between turnover intentions. (4) Organizational commitment play the intermediary role in the impact of employer brand equity on employees' work performance.

• Journal of the Korean association of regional geographers
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• v.13 no.1
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• pp.104-117
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• 2007

According to the evolution of knowledge based economy, the expansion of significance of high-tech and technical innovation, in recent, many of local government of Korea have concern on the establishment and promotion of new growth power such as technopolis, science park, and innovative clusters for regional development. This study focuses on the establishment strategy for R&D special district in Gwangju area. Gwangju area have many potentials in several dimensions; comfortable physical environment, new agglomeration of photonics and household electric industry, the existence of excellent research related manpower, the strong networking with universities, laboratories, and firms. In addition, the establishment of R&D special district in Gwangju area will be provide positive effects in the increase of competitiveness of state, balanced development between regions, revitalization and development of southwestern area, and establishment of innovative clusters for regional development. However, in order to promote and establish the R&D special district of Gwangju area, central and local governments have to concern with some improvements such as the construction of R&D related infrastructure, the strengthening of research activities of research institutes, the building of cluster of strategic industries of Gwangju area, the supporting system for the revitalization of R&D special district.